Natural Language Search-Lexical and Semantic

When we work with information systems, we capture information in text and find information with text queries. Advances in AI have made it possible to move from word-to-word matching to something like meaning-to-meaning matching. Learn how search and OpenSearch unlock the meaning in your information.

This session is foundational, covering why we search, and how we search to retrieve the best results. I will cover the core search algorithm, BM25 scoring, vectors (dense and sparse), LLMs, embedding generation and the neural and kNN plugins, exact, and approximate scoring


Tuesday, May 7 10:55am-11:35am in Moskau

Track: Community


Jon Handler photograph

Jon Handler

Senior Principal Solutions Architect, AWS